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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 3629
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    INDEX
    Explanations

    mentions of fundraising activities and initiatives

    oai_token-act-pair · gpt-3.5-turbo

    references to fundraising and financial contributions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Garner
    -0.71
    ophon
    -0.70
     repealed
    -0.67
     fault
    -0.66
    ept
    -0.66
     Phillips
    -0.65
    opol
    -0.65
     Butcher
    -0.65
    ovic
    -0.63
    oplan
    -0.61
    POSITIVE LOGITS
    aura
    0.83
    ONEY
    0.81
    pees
    0.76
     fundraising
    0.75
    DK
    0.75
    sts
    0.73
     internationally
    0.72
    oft
    0.72
    andise
    0.72
    Ire
    0.72
    Activations Density 0.057%

    No Known Activations